code: def testMultipleActionsRaiseError(self):
      with self.assertRaisesRegexp(
          TypeError, ".*action_spec must be a BoundedTensorSpec.*"
      ):
          # Replace the action_spec for this test.
          action_spec = [
              tensor_spec.BoundedTensorSpec([1], tf.int32, 0, 1)
          ] * 2
          q_network = categorical_q_network.CategoricalQNetwork(
              input_tensor_spec=self._obs_spec,
              action_spec=action_spec,
              num_atoms=3,
              fc_layer_params=[4],
          )
          categorical_q_policy.CategoricalQPolicy(
              self._time_step_spec,
              action_spec,
              q_network,
              self._min_q_value,
              self._max_q_value,
          )
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import os
  from absl import flags
  import numpy
  import tensorflow
  from tf_agents.networks import categorical_q_network
  from tf_agents.networks import network
  from tf_agents.policies import categorical_q_policy
  from tf_agents.policies import policy_saver
  from tf_agents.specs import tensor_spec
  from tf_agents.trajectories import time_step
  from tf_agents.utils import test_utils
label_desc: Use image node_id 3 for calling the CategoricalQPolicyTest obj's underlying member method code with example usage: obj.testMultipleActionsRaiseError() without return types